Consortium Building For PEM MFC Using Synthetic Media As Substrate

Microbial production of electricity is an important form of bioenergy since Microbial Fuel cells (MFC) offer the possibility of extracting electric current from a wide range of organic wastes and renewable biomass. Factors affecting the MFC operational effectiveness are the MFC design and the bacterial metabolism and electron transfer. The purpose of this study is to identify species which are responsible for electricity generation so as to build a suitable consortium and to investigate the relative efficiencies between the microbial consortiums. Enrichment by repeated transfer of a bacterial consortium harvested from the anode compartment of a MFC with synthetic media as a substrate increased the output from an initial level of 34 mA to a maximal level of 363 mA. Scanning electron microscope image indicated the enhanced microbial biofilm deposition over the electrode which were not initially detected in the community

Smart Homes-Based On Mobile IP

Smart Home Using MIPv6 is the Integration of Technology and services for better quality of living.This paper provides a review of the recent Developments,Technology,Architecture,Application and future scope for Smart Homes with the tremendous help of MIPv6.The principles of MIPv6 are included for mobility on the design of the architecture for MIPv6 based Smart Homes. Smart Homes based on Mobile IPv6 Consists of various techniques and Home Networking for Interactive services. The crucial Advantages of Smart Home is to support and impro ve the quality of life for disabled and elderly people

A retrospective analysis of maternal deaths over a period of five years at a tertiary care hospital of central India

Background: Maternal mortality is one of the important indicators used for the measurement of maternal health. The present study was conducted to analyse the maternal deaths over a period of five years in a tertiary care centre, GMH Rewa, Madhya Pradesh.Methods: A retrospective observational   study was conducted in department of Obstetrics and Gynaecology, Shyam Shah Medical College and associated Gandhi Memorial Hospital, Rewa. The case records of all maternal deaths between January 3013 to December 2017 were collected from hospital medical records and studied. Data were analyzed statistically.Results: There were 214 maternal deaths from January 3013 to December 2017.The average maternal mortality ratio over a period of five years was 471.5 per one lac live births. Majority of maternal deaths were from toxaemia 33.2%, haemorrhage 26.2%, anaemia 16.3% and sepsis 12.6%.Conclusions: The present study highlights the importance of early antenatal registration of all pregnancies and regular follow up of cases by trained staff. Active management of high-risk groups by frequent antenatal visits, fluid and component transfusions, aggressive management of infection and closer monitoring of women in labor. Higher fertility and unwanted pregnancies should be reduced through family welfare services and easy availability of Medical termination of pregnancy services to be ensured. Analysis of every maternal death through maternal death audit should be carried out.

Novel Frame work for Improving Embedding Capacity of the System using Reversible Data Hiding Technique

Internet communication has become an essential part of infrastructure of today’s world. The secret information communicated in various forms. Security of the secret information has been a challenge when the heavy amount of data is exchanged on the internet. A secure data transfer can be achieved by steganography and Cryptography. Steganography is a process of hiding the information into cover media while cryptography is the technique that encodes the message using encryption key. In this paper described the reversible data hiding concept. This maintains the property that recovered the original cover without loss of data while extracting the embedded message. DOI: 10.17762/ijritcc2321-8169.15072

Tools and Techniques Used for Prioritizing Test Cases in Regression Testing

Testing is a very expensive task in term of cost, effort and time and it is necessary step of software development because without testing software cannot be completed. Regression testing is a type of software testing which is widely used in software development and maintenance phase; it also occupies a large portion of the software maintenance budget. There are many software testing tools and Technique that is used to test the software program. This research paper defines some testing approach which reduced person effort and time in regression testing. Software systems are change regularly during development and maintenance face. After software is modified regression testing is applied to software to ensure that it behaves intended and modifications not negatively impacts its original functionality. This paper focus on improving the performance of regression testing by using these approach for regression testing by computing coverage data for evolving software using dataflow analysis and execution tracing

Histopathological evaluation of endometrium and its clinical correlation in patients of abnormal uterine bleeding

Background: Abnormal uterine bleeding (AUB) is a very common, challenging gynaecological problem in all age group women. Neoplastic lesions are responsible for very less number of cases but they should be diagnosed early. Endometrial biopsy is necessary for histopathological diagnosis of endometrial lesions and to rule out any malignancy. In present study, we evaluated histopathological pattern of endometrium and different clinical parameters in AUB patients.Methods: A retrospective observational study done in Obstetrics and Gynecology department of SSMC Rewa, Madhya Pradesh in 2 year from 1st October 2017 to 30th September 2019. AUB patients who fulfilled inclusion criteria were included in study. All data were collected from department records in predesigned proforma and statistically analyzed by statistical package for the Social sciences (SPSS) version 20.Results: Total 366 AUB patients were included in study; most frequent clinical presentation was HMB (56%). Mostly patient’s age ranged from 24-84 years, belonged to 41-50 years age group (44%), multiparous (78%), and premenopausal (53%). On histopathological evaluation of endometrium most commonly nonneoplastic lesions (75%) were seen, out of which proliferative phase endometrium was most frequent. Neoplastic lesions were seen in 25% cases. Out of which benign lesions were noted in 7%, premalignant in 17.3% and malignant in 1% (all in >45 year patients).Conclusions: Endometrial biopsy should be done in all AUB patients >45 years and in selected premenopausal in order to get early diagnosis, to rule out malignancy and to help in management. Endometrial biopsy should be considered as first diagnostic modality

Semantic Web Mining Review

This paper describes about Semantic Web Mining . The Purpose of this paper is to focus on how semantic web technologies can be used to mine the web , for relevant information extraction. Semantic Web Mining is about combining the two emerging research areas Semantic Web and Web Mining. Researchers work on improving the result off web mining by using semantic structure in the web and make use of Web Mining techniques for building the Semantic Web. In this manner both technologies are playing vital role to each other. Seman tic Web adds structure to the meaningful content of Web Pages ; hence information is given a well defined meaning; which is both human readable as well as machine - processable. This paper gives an overview of where the two areas meet today , and sketches ways of how a closer integration c ould be profitable

A Novel Curcumin Analog (H-4073) Enhances the Therapeutic Efficacy of Cisplatin Treatment in Head and Neck Cancer

Chemotherapy constitutes the standard modality of treatment for localized head and neck squamous cell carcinomas (HNSCC). However, many patients fail to respond and relapse after this treatments due to the acquisition of chemo- resistance. Therefore, there is an urgent need to develop novel drugs that could reverse the resistant phenotype. Curcumin, the constituent of the spice turmeric has been shown to have anti-inflammatory, anti-oxidant and anti-proliferative properties in several tumor types. However, use of curcumin has been limited due to its poor bio-absorption. Recently, a novel class of curcumin analogs, based on diarylidenylpiperidones (DAP), has been developed by incorporating a piperidone link to the beta-diketone structure and fluoro substitutions on the phenyl groups. In this study, we evaluated the effectiveness of H-4073, a parafluorinated variant of DAP, using both in vitro and in vivo head and neck cancer models. Our results demonstrate that H-4073 is a potent anti-tumor agent and it significantly inhibited cell proliferation in all the HNSCC cell lines tested in a dose-dependent manner. In addition, pretreatment of cisplatin-resistant HNSCC cell lines with H-4073 significantly reversed the chemo-resistance as observed by cell viability assay (MTT), apoptosis assay (Annexin V binding) and cleaved caspase-3 (Western blot). H-4073 mediated its anti-tumor effects by inhibiting JAK/STAT3, FAK, Akt and VEGF signaling pathways that play important roles in cell proliferation, migration, survival and angiogenesis. In the SCID mouse xenograft model, H-4073 significantly enhanced the anti-tumor and anti-angiogenesis effects of cisplatin, with no added systemic toxicity. Interestingly, H-4073 inhibited tumor angiogenesis by blocking VEGF production by tumor cells as well as directly inhibiting endothelial cell function. Taken together, our results suggest that H-4073 is a potent anti-tumor agent and it can be used to overcome chemotherapy resistance in HNSCC

Text Summarization Technique for Punjabi Language Using Neural Networks

In the contemporary world, utilization of digital content has risen exponentially. For example, newspaper and web articles, status updates, advertisements etc. have become an integral part of our daily routine. Thus, there is a need to build an automated system to summarize such large documents of text in order to save time and effort. Although, there are summarizers for languages such as English since the work has started in the 1950s and at present has led it up to a matured stage but there are several languages that still need special attention such as Punjabi language. The Punjabi language is highly rich in morphological structure as compared to English and other foreign languages. In this work, we provide three phase extractive summarization methodology using neural networks. It induces compendious summary of Punjabi single text document. The methodology incorporates pre-processing phase that cleans the text; processing phase that extracts statistical and linguistic features; and classification phase. The classification based neural network applies an activation function- sigmoid and weighted error reduction-gradient descent optimization to generate the resultant output summary. The proposed summarization system is applied over monolingual Punjabi text corpus from Indian languages corpora initiative phase-II. The precision, recall and F-measure are achieved as 90.0%, 89.28% an 89.65% respectively which is reasonably good in comparison to the performance of other existing Indian languages" summarizers.This research is partially funded by the Ministry of Economy, Industry and Competitiveness, Spain (CSO2017-86747-R)

Automatic Text Summarization for Hindi Using Real Coded Genetic Algorithm

In the present scenario, Automatic Text Summarization (ATS) is in great demand to address the ever-growing volume of text data available online to discover relevant information faster. In this research, the ATS methodology is proposed for the Hindi language using Real Coded Genetic Algorithm (RCGA) over the health corpus, available in the Kaggle dataset. The methodology comprises five phases: preprocessing, feature extraction, processing, sentence ranking, and summary generation. Rigorous experimentation on varied feature sets is performed where distinguishing features, namely- sentence similarity and named entity features are combined with others for computing the evaluation metrics. The top 14 feature combinations are evaluated through Recall-Oriented Understudy for Gisting Evaluation (ROUGE) measure. RCGA computes appropriate feature weights through strings of features, chromosomes selection, and reproduction operators: Simulating Binary Crossover and Polynomial Mutation. To extract the highest scored sentences as the corpus summary, different compression rates are tested. In comparison with existing summarization tools, the ATS extractive method gives a summary reduction of 65%